Efficient Approach for Brain Tumor Detection and Classification Using Fuzzy Thresholding and Deep Learning Algorithms

Efficient Approach for Brain Tumor Detection and Classification Using Fuzzy Thresholding and Deep Learning Algorithms

Accurate and efficient brain tumor diagnosis remains a critical challenge in medical imaging. This study proposes a novel framework that integrates fuzzy logic-based segmentation with deep learning (DL) techniques to enhance brain tumor detection and classification in magnetic resonance imaging (MRI...

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Bibliographic Details
Main Authors: Nashaat M. Hussain Hassan, Wadii Boulila
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Brain tumor extraction
fuzzy logic
brain tumor size calculation
tumor segmentation
deep learning
magnetic resonance imaging
Online Access:https://ieeexplore.ieee.org/document/10981713/
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https://ieeexplore.ieee.org/document/10981713/

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